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Euclid: Forecasts for k-cut 3×2 Point Statistics

Taylor, P. L. and Kitching, T. and Cardone, V. F. and Ferté, A. and Huff, E. M. and Bernardeau, F. and Rhodes, J. and Deshpande, A. C. and Tutusaus, I. and Pourtsidou, A. and Camera, S. and Carbone, C. and Casas, S. and Martinelli, M. and Pettorino, V. and Sakr, Z. and Sapone, D. and Yankelevich, V. and Auricchio, N. and Balestra, A. and Bodendorf, C. and Bonino, D. and Boucaud, A. and Branchini, E. and Brescia, M. and Capobianco, V. and Carretero, J. and Castellano, M. and Cavuoti, S. and Cimatti, A. and Cledassou, R. and Congedo, G. and Conversi, L. and Corcione, L. and Cropper, M. and Franceschi, E. and Garilli, B. and Gillis, B. and Giocoli, C. and Guzzo, L. and Haugan, S. V. H. and Holmes, W. and Hormuth, F. and Jahnke, K. and Kermiche, S. and Kilbinger, M. and Kunz, M. and Kurki-Suonio, H. and Ligori, S. and Lilje, P. B. and Lloro, I. and Marggraf, O. and Markovic, K. and Massey, R. and Medinaceli, E. and Mei, S. and Meneghetti, M. and Meylan, G. and Moresco, M. and Morin, B. and Moscardini, L. and Niemi, S. and Padilla, C. and Paltani, S. and Pasian, F. and Pedersen, K. and Percival, W. J. and Pires, S. and Polenta, G. and Poncet, M. and Popa, L. and Raison, F. and Roncarelli, M. and Rossetti, E. and Saglia, R. and Schneider, P. and Secrou, A. and Seidel, G. and Serrano, S. and Sirignano, C. and Sirri, G. and Sureau, F. and Tallada Crespí, P. and Tavagnacco, D. and Taylor, A. N. and Teplitz, H. I. and Tereno, I. and Toledo-Moreo, R. and Valentijn, E. A. and Valenziano, L. and Vassallo, T. and Wang, Y. and Weller, J. and Zacchei, A. and Zoubian, J. (2020) Euclid: Forecasts for k-cut 3×2 Point Statistics. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210106-131331429

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Abstract

Modelling uncertainties at small scales, i.e. high k in the power spectrum P(k), due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased tracers poses a significant obstacle to fully leverage the constraining power of the Euclid wide-field survey. k-cut cosmic shear has recently been proposed as a method to optimally remove sensitivity to these scales while preserving usable information. In this paper we generalise the k-cut cosmic shear formalism to 3×2 point statistics and estimate the loss of information for different k-cuts in a 3×2 point analysis of the Euclid data. Extending the Fisher matrix analysis of Euclid Collaboration: Blanchard et al. (2019), we assess the degradation in constraining power for different k-cuts. We find that taking a k-cut at 2.6 h Mpc⁻¹ yields a dark energy Figure of Merit (FOM) of 1018. This is comparable to taking a weak lensing cut at ℓ=5000 and a galaxy clustering and galaxy-galaxy lensing cut at ℓ=3000 in a traditional 3×2 point analysis. We also find that the fraction of the observed galaxies used in the photometric clustering part of the analysis is one of the main drivers of the FOM. Removing 50% (90%) of the clustering galaxies decreases the FOM by 19% (62%). Given that the FOM depends so heavily on the fraction of galaxies used in the clustering analysis, extensive efforts should be made to handle the real-world systematics present when extending the analysis beyond the luminous red galaxy (LRG) sample.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/2012.04672arXivDiscussion Paper
ORCID:
AuthorORCID
Ferté, A.0000-0001-8896-9219
Huff, E. M.0000-0002-9378-3424
Rhodes, J.0000-0002-4485-8549
Deshpande, A. C.0000-0003-3721-4232
Pettorino, V.0000-0002-4203-9320
Brescia, M.0000-0001-9506-5680
Carretero, J.0000-0002-3130-0204
Cavuoti, S.0000-0002-3787-4196
Cimatti, A.0000-0002-4409-5633
Jahnke, K.0000-0003-3804-2137
Kunz, M.0000-0003-1676-6126
Meneghetti, M.0000-0003-1225-7084
Moresco, M.0000-0002-7616-7136
Paltani, S.0000-0002-8108-9179
Roncarelli, M.0000-0001-9587-7822
Saglia, R.0000-0003-0378-7032
Teplitz, H. I.0000-0002-7064-5424
Weller, J.0000-0002-8282-2010
Additional Information:Attribution 4.0 International (CC BY 4.0). The authors would like to thank Shahab Joudaki for carefully reviewing an earlier version of the paper. PLT acknowledges support for this work from a NASA Postdoctoral Program Fellowship. Part of the research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. TDK acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 776247. ACD acknowledges funding from the Royal Society. The authors acknowledge support from NASA ROSES grant 12-EUCLID12-0004. AP is a UK Research and Innovation Future Leaders Fellow, grant MR/S016066/1. The authors acknowledge the Euclid Collaboration, the European Space Agency, and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid web site (http://www.euclid-ec.org).
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
NASA Postdoctoral ProgramUNSPECIFIED
European Research Council (ERC)776247
Royal SocietyUNSPECIFIED
NASA12-EUCLID12-0004
UK Research and InnovationMR/S016066/1
Subject Keywords:Cosmology, Weak Gravitational Lensing
Record Number:CaltechAUTHORS:20210106-131331429
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210106-131331429
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107351
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:11 Jan 2021 23:42
Last Modified:11 Jan 2021 23:42

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